BERTimbau in Action: An Investigation of its Abilities in Sentiment Analysis, Aspect Extraction, Hate Speech Detection, and Irony Detection. by Julia da Rocha Junqueira, Felix da Silva, Wesley Costa, Rodrigo Carvalho, Alexandre Bender, Ulisses Correa, Larissa Freitas

“…However, automatically extracting this information using Natural Language Processing requires adaptations of traditional methods or the development of new strategies capable of extracting information tackling web-prone language. …”
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Who owns Internet of Thing devices? by Yuxuan Jia, Bing Han, Qiang Li, Hong Li, Limin Sun

“…The natural language-processing technique is used to extract owner information from IoT devices. …”
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Prediction efficiency and incremental processing strategy during spoken language comprehension in autistic children: an eye-tracking study by Zihui Hua, Tianbi Li, Ruoxi Shi, Ran Wei, Li Yi

“…The task employed only simple sentence structures in controlled experimental settings, which may not fully capture language processing patterns in naturalistic communication contexts. …”
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Toward more realistic career path prediction: evaluation and methods by Elena Senger, Elena Senger, Yuri Campbell, Rob van der Goot, Barbara Plank

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Data extraction from polymer literature using large language models by Sonakshi Gupta, Akhlak Mahmood, Pranav Shetty, Aishat Adeboye, Rampi Ramprasad

“…Abstract Automated data extraction from materials science literature at scale using artificial intelligence and natural language processing techniques is critical to advance materials discovery. …”
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TMNRED, A Chinese Language EEG Dataset for Fuzzy Semantic Target Identification in Natural Reading Environments by Yanru Bai, Qi Tang, Ran Zhao, Hongxing Liu, Shuming Zhang, Mingkun Guo, Minghan Guo, Junjie Wang, Changjian Wang, Mu Xing, Guangjian Ni, Dong Ming

“…This dataset provides valuable physiological data for studying Chinese semantics and developing more accurate Chinese natural language processing models.…”
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FLAIRS-36 Invited Talk Abstracts by Soon Chun

“…The special track invite speaker is for Nobal Niraula for the Applied Natural Language Processing track.…”
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BMWP: the first Bengali math word problems dataset for operation prediction and solving by Sanchita Mondal, Debnarayan Khatua, Sourav Mandal, Dilip K. Prasad, Arif Ahmed Sekh

“…Word problem solving integrates the cognitive domains of language processing, comprehension, and transformation into real-world solutions. …”
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International visualization analysis of research hotspots and development trends in the study of clinical decision support systems utilizing CiteSpace by Meixuan Song, Dong Liu, Dong Liu

“…Artificial intelligence, natural language processing, and user-centered design are the future trends.…”
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Eye-tracking as a proxy for coherence and complexity of texts. by Débora Torres, Wagner R Sena, Humberto A Carmona, André A Moreira, Hernán A Makse, José S Andrade

“…Reading is a complex cognitive process that involves primary oculomotor function and high-level activities like attention focus and language processing. When we read, our eyes move by primary physiological functions while responding to language-processing demands. …”
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Transferable Modulation of Cognitive Control: The Cross-Task Role of Conflict Adaptation in Thematic Roles Assignment in Chinese by Jiefei Luo, Qi Cheng, Mengfang Zhang, Yan Wu

“…A central question in language processing research concerns whether control elicited by non-linguistic tasks generalizes across tasks to influence higher-order processes such as sentence comprehension. …”
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Evaluation of smoking status identification using electronic health records and open-text information in a large mental health case register. by Chia-Yi Wu, Chin-Kuo Chang, Debbie Robson, Richard Jackson, Shaw-Ji Chen, Richard D Hayes, Robert Stewart

“…The 'CRIS-IE-Smoking' application used General Architecture for Text Engineering (GATE) natural language processing software to extract smoking status information from open-text fields. …”
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Individual Differences in Global Cognition Modulate the Effect of Motor-Relatedness on Object Naming in Healthy Older Adults by Yang Xiao, Yanping Dong

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The Development of Nominal Synsets for the Saraiki Language: A Corpus-based Analysis by Madya Asgher, Musarrat Azher

“…Nominal synsets are groups of nouns that share semantic characteristics and are crucial for natural language processing tasks such as information retrieval, machine translation, and text classification. …”
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SYNCode: Synergistic Human–LLM Collaboration for Enhanced Data Annotation in Stack Overflow by Meng Xia, Shradha Maharjan, Tammy Le, Will Taylor, Myoungkyu Song

“…Large language models (LLMs) have rapidly advanced natural language processing, showcasing remarkable effectiveness as automated annotators across various applications. …”
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MilkOligoCorpus: A semantically annotated resource for knowledge extraction on mammalian milk oligosaccharides. by Mathilde Rumeau, Marine Courtin, Robert Bossy, Clara Sauvion, Valentin Loux, Mouhamadou Ba, Christelle Knudsen, Sylvie Combes, Claire Nédellec, Louise Deléger

“…While annotated corpora exist for chemical substances, none are specifically designed for training natural language processing models to extract information on milk oligosaccharides. …”
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Machine learning and deep learning in medicine and neuroimaging by Iván Sánchez Fernández, Jurriaan M. Peters

“…Machine learning and deep learning are increasingly integrated into the clinical workflow and applied in neuroimaging interpretation. Natural language processing is likely to gain increasing importance in medicine in the near future. …”
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Big claims, low outcomes: fact checking ChatGPT’s efficacy in handling linguistic creativity and ambiguity by Md. Tauseef Qamar, Juhi Yasmeen, Sanket Kumar Pathak, Shahab Saquib Sohail, Dag Øivind Madsen, Mithila Rangarajan

“…Ambiguity has always been a pain in the neck of Natural Language Processing (NLP). Despite enormous AI tools for human language processing, it remains a key concern for Language Technology Researchers to develop a linguistically intelligent tool that could effectively understand linguistic ambiguity and creativity possessed by human language. …”
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Bochun: Automatically annotated stance detection dataset for Sorani Kurdish language(Mendeley Data). by Payman Sabr Rostam, Rebwar Mala Nabi

“…This Research presents the first-ever, high-quality, automatically annotated Kurdish stance detection dataset in the Sorani dialect to fill the gap of lacking annotated resources for Kurdish, a low-resource language in Natural Language Processing (NLP). The dataset consists of 2,174 Kurdish news articles—1,410 economic and 764 political—that were originally published in 2024 and 2025, which are recent and topically relevant. …”
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A method for English paragraph grammar correction based on differential fusion of syntactic features. by Weiling Liu, Caijun Zhao, Yongyi Li, Chenglong Cai, Hong Liu, Ruilin Qiu, Ruoci Su, Bingbing Li

“…The new progress of deep learning and natural language processing technology has strongly promoted the development of English grammar error correction. …”
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